AI Engineer

About the Company Ajaia is a rapidly growing AI consultancy and product studio dedicated to helping organizations move from experimentation to real results. We operate across four core pillars: AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and Custom Product Development. In addition to client services, Ajaia builds proprietary AI products, copilots, and vertical solutions that solve high-value industry problems. This dual model allows us to translate hands‑on implementation experience into scalable products while continuously refining our approach through real‑world deployment. Our operating model combines deep technical execution with practical change management, enabling enterprises to deploy secure, compliant, and high‑impact solutions that drive measurable operational value. From executive roadmapping to production‑ready systems and workforce upskilling, Ajaia embeds intelligent tools directly into the workflows that matter most. Mission: Help organizations win the AI moment. Position Overview As an AI Engineer at Ajaia, you will build AI‑enabled software across both client engagements and internal product initiatives where technical speed, adaptability, and execution quality matter. You will own features from start to finish: take loosely defined requirements, clarify the real problem, and ship robust solutions across web interfaces, backend services, LLM integrations, and AI‑driven workflows. You will also set up the infrastructure, deployments, and security those features need to run safely in production. This is an individual contributor role for someone who builds with autonomy while working closely with product, delivery, and client‑facing teams, and who helps newer engineers along the way. Every role at Ajaia is AI‑forward. We expect engineers to use AI tools in daily workflows across research, implementation, debugging, testing, and documentation. AI usage is a core execution capability, not optional tooling. Primary Responsibilities Own AI‑enabled features end to end for client delivery systems, internal platforms, and products. Work across frontend implementation, backend logic, API design, and database operations. Build and integrate AI capabilities into production systems: LLM APIs, prompt workflows, retrieval (RAG), agents, and automation. Set up and maintain the infrastructure your features run on: cloud services, environments, and configuration. Own deployments for your features: CI/CD pipelines, releases, rollbacks, and environment management. Apply security best practices in daily work: secure authentication, secrets management, access control, and protection against common vulnerabilities (such as the OWASP Top 10). Use AI tools regularly for coding support, debugging, technical research, test generation, and documentation. Turn ambiguous requests into clear technical tasks, estimates, and delivery plans. Identify risks early and unblock execution through pragmatic decisions. Review code from peers and help junior engineers with patterns and practices. Keep systems maintainable, secure, observable, and ready for continuous iteration. 2-5 years of hands‑on experience building and shipping software in professional environments. Solid experience with a modern frontend framework (such as React or Next.js) and a backend stack (such as Python/FastAPI or Node.js). Experience with APIs, relational databases (such as PostgreSQL or MySQL), and authentication. Experience building features on top of large language models (prompting, tool use, retrieval, or agent workflows). Infrastructure: hands‑on knowledge of cloud platforms (AWS or Google Cloud Platform), containers (Docker), and core services such as compute, storage, networking, and managed databases. Deployments: experience building and running CI/CD pipelines (such as GitHub Actions), deploying to production, and handling releases and rollbacks safely. Security: working knowledge of secure coding, authentication and authorization (OAuth, JWT), secrets management, encryption, and common vulnerabilities (OWASP Top 10). Ownership mindset and ability to deliver without highly detailed requirements. Comfort managing multiple priorities or workstreams in a fast‑moving consultancy or product environment. Proficiency with GitHub and modern developer tooling. Strong written and verbal communication with technical and non‑technical stakeholders. Active daily use of AI tools for planning, implementation, debugging, testing, and documentation. Ability to critically evaluate AI‑generated output and hold a high standard for correctness and reliability. Preferred Qualifications Experience shipping AI features to production users. Familiarity with frameworks such as LangChain, vector databases, or LLM evaluation. Experience working in startup, consultancy, or fast‑iteration environments. Schedule and Location This is a fully remote role within approved hiring locations, subject to Ajaia hiring and compliance requirements. Working schedule follows Eastern Time hours: Monday to Friday, 9:00 AM to 5:00 PM ET, including holidays. Technical Requirements Reliable wired internet connection with at least 100 Mbps speed. Computer or laptop with Intel Core i5 or Ryzen 5 processor or higher. Minimum 8 GB RAM and at least 128 GB available storage. Dual‑monitor setup preferred. Windows 10 or macOS (latest version). 1080p webcam and working microphone. Backup solutions for power and internet interruptions. Compensation: USD 12,500 per year base salary + Performance Bonus Remote work with earned flexibility. Professional development opportunities. Paid time off. Why Join Ajaia This role gives you exposure to a wide range of applied AI and software delivery challenges while keeping you close to real implementation work. You will build across client and internal initiatives, work directly with operators and technical leaders, and grow toward senior ownership. The environment rewards ownership, speed, and clarity rather than bureaucracy. Experience the Ajaia difference. Let's build what's next. #J-18808-Ljbffr